Literature DB >> 23981332

Quantitative assessment of the switchability of generic products.

Vangelis Karalis1, Meir Bialer, Panos Macheras.   

Abstract

Generics are usually considered to exhibit comparable in vivo properties in terms of efficacy and safety and for this reason are intended to be interchangeable with the reference product. The aim of this study is to provide a quantitative picture of the switchability problem between two generics and to introduce the concept of conditional probability of bioequivalence (BE) acceptance. Monte Carlo simulations were performed to examine all possible relationships between the tested products. Four types of percent BE acceptances are defined and evaluated: (a) %BA1, when generic T₁ is compared to the R product, (b) %BA2, in cases of comparison of generic T₂ with the R product, (c) %BA21, when generic T₂ is compared to another generic T₁, and finally (d) %BA21C which is the conditional probability of percent bioequivalence acceptance of generic T₂versus another generic T₁ given that both T₁ and T₂ are declared bioequivalent to the same R formulation. The simulations were expanded to study concomitantly the performance of T₁ and T₂ when compared to the same R formulation. In each case, the 2 × 2 cross-over design was used and evaluation of BE was based on the classic BE limits (0.80-1.25) and the stricter BE limits (0.90-1.11) for narrow therapeutic index (NTI) drugs. A number of 24 and 48 subjects were assumed to participate in the simulated trials, while the coefficient of variation for the within-subject variability (CVw) was 20% and 40%. A number 40,000 BE trials were simulated under each condition. The T₁/R and T₂/R ratios ranged from 0.80 to 1.25 using a step of 0.05. Even though two generics (T₁ and T₂) can be declared bioequivalent to the same R product, this does not ensure that they are always mutually bioequivalent. On the contrary, two generic products which differ substantially from the R product can still have a high probability to be truly interchangeable. The two generics (T₁ and T₂) can be switched from one to another when the T₁/R and T₂/R ratios are close to the same value, the CVw of the drug is low, and each BE study of T₁-R and T₂-R was conducted using a relatively large number of subjects. In the same context, two generic NTI drugs which differ more than 10% from the R product can still be declared bioequivalent to one another depending on the relative T₁/R and T₂/R ratios. Switchability between generics assessed at the 0.90-1.11 interval is safer, but not always ensured.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BA1 (%); BA2 (%); BA21 (%); BA21C (%); BE; Bioequivalence; CI; CVw; Conditional probability; GMR; Generics; N; NTI; Narrow therapeutic index drugs; Pharmacokinetic simulations; R; Switchability; T; T(1); T(2); acceptance limit of bioequivalence imposed by the regulatory authorities; bioequivalence; coefficient of variation of the within-subject variability; confidence interval; generic assessed after the approval of the first generic; generic first approved; geometric mean ratio of the bioequivalence metric for the two products (T over R); narrow therapeutic index drug; percent bioequivalence acceptance of generic T(1) when compared to the reference product; percent bioequivalence acceptance of generic T(2) when compared to the reference product; percent bioequivalence acceptance of generic T(2)versus another generic T(1); percent bioequivalence acceptance of generic T(2)versus another generic T(1) given that both T(1) and T(2) are declared bioequivalent to the same reference formulation; reference product; sample size; test product (generic); θ

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Year:  2013        PMID: 23981332     DOI: 10.1016/j.ejps.2013.08.023

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  8 in total

1.  Influence of point estimates and study power of bioequivalence studies on establishing bioequivalence between generics by adjusted indirect comparisons.

Authors:  Luther Gwaza; John Gordon; Henrike Potthast; Jan Welink; Hubert Leufkens; Matthias Stahl; Alfredo García-Arieta
Journal:  Eur J Clin Pharmacol       Date:  2015-06-24       Impact factor: 2.953

2.  Adjusted indirect comparisons to assess bioequivalence between generic clopidogrel products in Serbia.

Authors:  Zorica Pejčić; Katarina Vučićević; Alfredo García-Arieta; Branislava Miljković
Journal:  Br J Clin Pharmacol       Date:  2019-07-07       Impact factor: 4.335

Review 3.  Therapeutic Basis of Generic Substitution of Antiseizure Medications.

Authors:  Sarah Elmer; Doodipala Samba Reddy
Journal:  J Pharmacol Exp Ther       Date:  2022-03-03       Impact factor: 4.402

4.  Investigation into the interchangeability of generic formulations using immunosuppressants and a broad selection of medicines.

Authors:  Yang Yu; Steven Teerenstra; Cees Neef; David Burger; Marc Maliepaard
Journal:  Eur J Clin Pharmacol       Date:  2015-06-12       Impact factor: 2.953

5.  Generics in transplantation medicine: Randomized comparison of innovator and substitution products containing mycophenolate mofetil
.

Authors:  Bruno Reigner; Susan Grange; Darren Bentley; Ludger Banken; Markus Abt; Richard Hughes; Emmanuel Scheubel; Theodor W Guentert
Journal:  Int J Clin Pharmacol Ther       Date:  2019-10       Impact factor: 1.366

Review 6.  Bioequivalence, Drugs with Narrow Therapeutic Index and The Phenomenon of Biocreep: A Critical Analysis of the System for Generic Substitution.

Authors:  Lucia Gozzo; Filippo Caraci; Filippo Drago
Journal:  Healthcare (Basel)       Date:  2022-07-26

Review 7.  Potential problems and recommendations regarding substitution of generic antiepileptic drugs: a systematic review of literature.

Authors:  Muhammad Atif; Muhammad Azeem; Muhammad Rehan Sarwar
Journal:  Springerplus       Date:  2016-02-25

8.  Generic-reference and generic-generic bioequivalence of forty-two, randomly-selected, on-market generic products of fourteen immediate-release oral drugs.

Authors:  Muhammad M Hammami; Sophia J S De Padua; Rajaa Hussein; Eman Al Gaai; Nesrine A Khodr; Reem Al-Swayeh; Syed N Alvi; Nada Binhashim
Journal:  BMC Pharmacol Toxicol       Date:  2017-12-08       Impact factor: 2.483

  8 in total

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